agentmods.dev

tokenlean: Instructions file for Claude Code

CLAUDE.md

tokenlean CLAUDE.md is an instructions file for Claude Code from edimuj/tokenlean. It costs 583 tokens per session, scanned A, original, MIT.

Project instructions for tokenlean, a command-line toolkit that helps AI agents inspect projects while using fewer tokens. They describe its folders, shared modules, conventions, and process for adding tools.

In plain words
What is it for?
Use them when adding a tokenlean command, updating its Node.js package configuration, or following its shell, output, and project-analysis conventions.
Why use it?
They give contributors a consistent way to extend the command-line tools without duplicating formatting, traversal, caching, or safety logic.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions Claude Code; mentions Codex.

This is edimuj/tokenlean's own configuration. It tells Claude Code how to work on tokenlean itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything tokenlean configures →

not rated 13repo 3mo ago A scan 583 tokens original MIT
View source ↗ edimuj/tokenlean
Reuse

Borrowing it

Nothing to install: this file belongs to edimuj/tokenlean. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/edimuj/tokenlean/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/edimuj/tokenlean

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for tokenlean CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/edimuj/tokenlean/claude-md/github.svg)](https://agentmods.dev/instructions/edimuj/tokenlean/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/edimuj/tokenlean/claude-md"><img src="https://agentmods.dev/badge/instructions/edimuj/tokenlean/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for tokenlean CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/edimuj/tokenlean/claude-md"><img src="https://agentmods.dev/badge/instructions/edimuj/tokenlean/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 583 This file is loaded in full into every session.
When invoked 583 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00583 $0.00583
Opus 5.5 $0.00233 $0.00233
Sonnet 5.5 $0.00117 $0.00117
Haiku 4.5 $0.00058 $0.00058

Measured 2mo ago against content hash 138012bb263c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tokenlean CLAUDE.md scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

shell.mjs # Safe git/rg wrappers (spawnSync, no shell injection)
CLAUDE.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tokenlean

CLI tools for AI agents - maximum insight with minimum tokens.

Project Structure

bin/               # CLI entry points (tl-*.mjs) - thin wrappers
src/               # Shared modules
  output.mjs       # Common flags (-l, -t, -j, -q, -h), formatting, token estimation
  project.mjs      # File categorization, language detection, skip/important logic
  cache.mjs        # LRU disk cache for expensive operations (ripgrep results)
  traverse.mjs     # Fast file traversal with filtering
  config.mjs       # Config file loading (.tokenleanrc.json)
  shell.mjs        # Safe git/rg wrappers (spawnSync, no shell injection)
  generic-lang.mjs # Regex-based symbol/import extraction for non-JS/TS languages
skills/            # Agent skills
  claude/          # Claude Code skill variants
  codex/           # Codex skill variants

Adding a New Tool

  1. Create bin/tl-<name>.mjs with shebang #!/usr/bin/env node
  2. Import shared modules from ../src/
  3. Use output.mjs for consistent flags and formatting
  4. Add entry to package.json bin section
  5. Run npm link to test locally

Conventions

  • Minimal dependencies - node-html-markdown for tl-browse, otherwise Node.js built-ins only
  • ES modules - use .mjs extension, import/export
  • All tools support common flags: -l (limit), -t (tokens), -j (JSON), -q (quiet), -h (help)
  • Users invoke tools via tl <command> (e.g. tl symbols, tl run), which dispatches to bin/tl-<command>.mjs
  • For noisy logs, prefer tl tail <file> (or piped stdin) to collapse repeats and surface error/warn lines
  • Exit codes: 0 success, 1 error
  • Output should be token-efficient (no verbose explanations)

Shell Completions

tl completions bash|zsh outputs a completion script. Dynamic — new tools are picked up automatically.

Backend: tl --list-commands [--with-desc] and tl --list-flags <command> (extracts flags from tool source via regex).

Testing

npm link              # Install locally
tl <tool> --help      # Verify help works
tl <tool> [args]      # Test functionality

Read the full file on GitHub · 60 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 60 lines · 583 tokens per session scan A 138012bb263c

Subscribe to this mod's changes

tokenlean CLAUDE.md is an instructions file published in the GitHub repository edimuj/tokenlean (13 stars, last pushed 3mo ago), licensed MIT. It adds 583 tokens to every session, about $0.0023 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Productivityagent-toolsai-agent-toolscli-toolscontext7
Related

tokenlean CLAUDE.md compared with instructions from other repositories

tokenlean CLAUDE.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
tokenlean CLAUDE.mdedimuj/tokenleanInstructions file133mo agoMITA583Claude Code
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode